Pixtral Large vs GPT-4.1 Nano
At a Glance
| Compare |  Pixtral LargeMistral AI |  GPT-4.1 NanoOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.050Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.20Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 131K | 1,048K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Pixtral Large | GPT-4.1 Nano |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Pixtral Large | Gpt 4 1 |
| Model | Pixtral Large | GPT-4.1 Nano |
| Version | Pixtral Large | GPT-4.1 Nano |
| Lifecycle | deprecated | active |
| Released | 2024-11-18 | Unknown |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text, Image, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 1,048K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | No | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, structured_outputs, tools, vision | chat, generation, tools |
Pixtral Large Capabilities
GPT-4.1 Nano Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Pixtral LargeMistral AI | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Pixtral LargeMistral AI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | Pixtral LargeMistral AI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Pixtral LargeMistral AI | cross-developer peersimage, text |
Pixtral LargeMistral AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
Pixtral LargeMistral AI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Pixtral LargeMistral AI | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Pixtral LargeMistral AI | cross-developer peersimage, text |
Pixtral LargeMistral AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Pixtral LargeMistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Pixtral LargeMistral AI | cross-developer peersimage, text |
Mistral Large 3Mistral AI | vs | Pixtral LargeMistral AI | developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Pixtral Large vs GPT-4.1 Nano FAQs
Is Pixtral Large or GPT-4.1 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Pixtral Large and GPT-4.1 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Pixtral Large or GPT-4.1 Nano?+
Only GPT-4.1 Nano has a directly sourced input price: $0.050 per million tokens. Only GPT-4.1 Nano has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, Pixtral Large or GPT-4.1 Nano?+
GPT-4.1 Nano has the larger sourced context window. Pixtral Large supports 131K and GPT-4.1 Nano supports 1,048K.
Which performs better in benchmarks, Pixtral Large or GPT-4.1 Nano?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Pixtral Large or GPT-4.1 Nano be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Pixtral Large is not marked open weight; GPT-4.1 Nano is not marked open weight.
Can Pixtral Large and GPT-4.1 Nano understand images?+
Pixtral Large is documented with image input; GPT-4.1 Nano is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Pixtral Large or GPT-4.1 Nano?+
Neither has a larger sourced maximum output. Pixtral Large is — and GPT-4.1 Nano is 33K.
Do Pixtral Large and GPT-4.1 Nano support reasoning and tool use?+
Pixtral Large: tool calling and image input. GPT-4.1 Nano: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Pixtral Large or GPT-4.1 Nano?+
Pixtral Large has 0 sourced provider routes; GPT-4.1 Nano has 2, so GPT-4.1 Nano has broader tracked availability.
Which offers better value, Pixtral Large or GPT-4.1 Nano?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.